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Update features_from_dlc.py and pyproject.toml
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features_from_dlc/features_from_dlc.py

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@@ -321,7 +321,7 @@ def clean_df(
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# apply custom marking-as-missing function
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if custom_filter_fun is not None:
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df_in = custom_filter_fun(df)
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df_in = custom_filter_fun(df_in)
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# get columns with a "likelihood" sub-column
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cols = df_in.columns[df_in.columns.get_level_values(1).isin(["likelihood"])]

pyproject.toml

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[project]
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name = "features-from-dlc"
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version = "2025.1.8"
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version = "2025.1.9"
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authors = [{ name = "Guillaume Le Goc", email = "g.legoc@posteo.org" }]
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description = "Behavioral quantification from DeepLabCut tracking"
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readme = "README.md"

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